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Everything revolves around data. Organizations use insights extracted from the data to make informed decisions. The modern data world is complicated, as multiple terms or titles are given to distinct roles and purposes. Business Analytics, Data Analytics and Business Intelligence are the terms that are used interchangeably but all of these have their distinct responsibilities […] The post Data Analytics vs.
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International Women’s Day is March 8 th , and it celebrates the achievements, contributions, and progress of women around the world. In the tech industry, diversity is not just a matter of fairness, but a key driver of innovation. Bringing women into techalong with people from diverse backgroundshelps create solutions that are more inclusive and reflective of the world we live in.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
For over two years now you can leverage file triggers in Databricks Jobs to start processing as soon as a new file gets written to your storage. The feature looks amazing but hides some implementation challenges that we're going to see in this blog post.
Were excited to announce the Public Preview of Automatic Liquid Clustering, powered by Predictive Optimization. This feature automatically applies and updates Liquid Clustering columns on.
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Were excited to announce the Public Preview of Automatic Liquid Clustering, powered by Predictive Optimization. This feature automatically applies and updates Liquid Clustering columns on.
Get a 30-day free trial and take a tour of CData Sync - providing data integration pipelines from any source to any application, in the cloud or on-premises
Unit, Integration, and End-to-End Testing to Catch Transformation Errors Before Data Observability in Production Photo by Logan Voss on Unsplash Introduction From complex data transformations to simple data splits, and aggregations, the ability to evaluate each stage of the pipeline before the first deployment can be the difference between effective analytics outputs and costly, time-consuming rework.
In this digital age, it is very important to make sure that networks and systems can still be accessed. But attackers are always testing these limits with Denial of Service attacks, which are attempts to overload systems and slow them down or shut them down completely. This blog goes into detail about what DoS attacks are, how they work, the different types of them, famous cases from history, and the ways you can protect your network.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
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